Independent bias, drift, and performance testing
Independent bias, drift, and performance testing that gives your board — and your regulator — evidence they can actually trust.
Independent Model Auditing
for Regulated Enterprises
AI Model Auditing provides independent, third-party evaluation of machine learning models. Following ISACA's AI audit methodology and the IT Assurance Framework (ITAF), our audits deliver comprehensive findings that satisfy regulatory and board-level oversight requirements.
Six Dimensions of Model Assurance
Fairness & Bias
Statistical testing for demographic bias across race, gender, age, and socioeconomic attributes using industry-standard fairness metrics.
Performance
Comprehensive accuracy, precision, recall, and business-specific performance metrics benchmarked against regulatory thresholds.
Robustness
Adversarial testing, edge case analysis, and model stability assessment under distributional shift and adversarial inputs.
Explainability
Interpretability analysis enabling regulators and boards to understand how models arrive at decisions — essential for POPIA compliance.
Regulatory Compliance
Alignment verification with POPIA, NDPA, and sector-specific AI requirements across financial services, healthcare, and government.
Drift Monitoring
Data drift and concept drift analysis with continuous monitoring recommendations to maintain model accuracy post-deployment.
Let's Talk AI Model Auditing
Our ISACA-certified AI governance specialists help enterprises deploy AI responsibly across Africa.